10 Questions
What is the equation of the regression line relating the number of hours watching TV (x) to the test score (y)?
ŷ = -4.07x + 93.97
What is the predicted test score for a student who watches 9 hours of TV over the weekend?
57.34
What is the slope of the regression line?
-4.07
What does the y-intercept of 93.97 represent?
The predicted test score for a student who watches 0 hours of TV
What does a negative slope indicate about the relationship between TV hours and test scores?
As TV hours increase, test scores decrease
Which of the following points lies on the regression line?
(4.5, 75.7)
What is the coefficient of determination (r^2) for this regression?
The value is not given
If the number of data points increased, what would happen to the regression line?
The line would change to better fit the additional data points
What assumption is made when using linear regression?
The relationship between the variables is linear
Which of the following values is an outlier in the given data?
A test score of 50 with 10 hours of TV
This quiz focuses on statistical questions related to linear regression such as identifying relationship types and making predictions. It covers steps like computing correlation coefficient, testing significance, and determining regression line equations.
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